Problem scenario: A healthcare organization is dedicated to enhancing patient satisfaction encounters common industry challenges. These hurdles involve a lack of alignment with crucial industry standards, including the Health Insurance Portability and Accountability Act (HIPAA), Fast Healthcare Interoperability Resources (FHIR), and Health Level Seven International (HL7). These disparities lead to duplication of efforts and a slow time to market.

Solution: To address these challenges, the healthcare organization recognizes the need for transformative solutions and subsequently implements the HCLS-SM Core application. In the context of healthcare, a data model refers to a structured representation of the data used and managed within the healthcare system. It defines how data is organized, stored, and accessed, providing a framework for understanding the relationships between different types of data. A healthcare data model typically includes various entities, attributes, and their interconnections, reflecting the complex nature of healthcare information.

In this scenario, the healthcare data model is vital in managing patient information. Let's assume every healthcare organization has entities and attributes as one of the key components of a data model. Entities represent the different objects or concepts within the healthcare system, such as patients, healthcare providers, medical procedures, medications, etc. Attributes are the properties or characteristics of the entities. For example, attributes of a patient entity might include name, date of birth, gender, and medical history.

Gilly, a new patient, calls the healthcare organization seeking medical attention.